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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Machine learning potentia" (30 stories)

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Machine learning links water quality measurements to potential pathogen risks | Newswise
Lead StoryNewswisegeneral
1d ago

Machine learning links water quality measurements to potential pathogen risks | Newswise

<a href="https://news.google.com/rss/articles/CBMisAFBVV95cUxON0V3bmJ2blUwb2MyaDlwOWF0SUUzcl9oUThpaTNGVURIMXJsbXhZUlRXSWJSRHo2X0FGOXR6VGx2YldaVmV5S2lzS1JiSTh2LUxKT2E0bkJadDQ3WVVia3lvN3pyMHlNdEZBc0tBaE1uejhvZVBWT2FPUEQzM0hiV0U1RENpUVR1cTRVeVpsQ0JYanJiMk1HRzZ3MDN5R0VGbXZiT1hLWkhyNEhRbWRBMtIBsAFBVV95cUxON0V3bmJ2blUwb2MyaDlwOWF0SUUzcl9oUThpaTNGVURIMXJsbXhZUlRXSWJSRHo2X0FGOXR6VGx2YldaVmV5S2lzS1JiSTh2LUxKT2E0bkJadDQ3WVVia3lvN3pyMHlNdEZBc0tBaE1uejhvZVBWT2FPUEQzM0hiV0U1RENpUVR1cTRVeVpsQ0JYanJiMk1HRzZ3MDN5R0VGbXZiT1hLWkhyNEhRbWRBMg?oc=5" target="_blank">Machine learning links water quality measurements to potential pathogen risks | Newswise</a>  <font color="#6f6f6f">Newswise</font>

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Search Results for "Machine learning potentia"

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29 stories displayed
Reactive machine learning potential for accelerating transition state search in organic synthesis
Naturegeneral

Reactive machine learning potential for accelerating transition state search in organic synthesis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1xT0RhdWxyM0R0Z3FCRHZtSFQ0MmJtWUY1OHNwbl8wNF9Na0RZSl9qUmxhWVJRRGtNSjNNWU1VcGZkelZSWU4xWGpYU1Bxd3FibV9EeUFhdHhRUFpoQUFv?oc=5" target="_blank">Reactive machine learning potential for accelerating transition state search in organic synthesis</a>  <font color="#6f6f6f">Nature</font>

Machine Learning for Video Games: Present and Potential Applications
Courserageneral

Machine Learning for Video Games: Present and Potential Applications

<a href="https://news.google.com/rss/articles/CBMidEFVX3lxTE1OX3ZuMnk5ZmpfeWJBZnlyMGJxZjJsU2tqb1l6V0tNZXhUMGpmc0szc0lrQjlxcm9Oc2FZYmJWTURVdmNHMndPOUpGUnlyYWgtMHQtbzJNb0ZEZmowSGxCVWxpUEd2c2VSVWJWMnFKci16M1Uy?oc=5" target="_blank">Machine Learning for Video Games: Present and Potential Applications</a>  <font color="#6f6f6f">Coursera</font>

Transforming Biomanufacturing with AI and Quantum Technologies
BioProcess Internationaltech

Transforming Biomanufacturing with AI and Quantum Technologies

<a href="https://news.google.com/rss/articles/CBMitAJBVV95cUxPWlhXeEZQcF90dFJKX19DSXVCbS1oeVdZUGFwWDlpRGhUb21wUlhfRFlJQm9ZNTlUVUExSThhMDBfTWhHV2R5SjA0Zk5LWVZHTlZfczFjZ0k4SFlLNGxVTHIyNXFtZnVkMWNvQjE1Uk80RC10U2tVVk5aTU9kUXNVY3haWjBJeURqV0ppQTd0MVktVzZ6NlRtNkQxOWtvQlRqaVhVOGN0Qmtqc2VDTzEwVFVKcFJ5RGRrSmJIQmF3YWRtTmEwVjRJUWdQTVpqS2lzeDNsaWlBckpiUjdkR1I0d0ZpQUloMjJUMDZLcTZJUW52Y2JvckV6OU9BX3RobUVLWXNyMzRyYnNUazNUaWt1ZGhEX1U4dzNqcWZuTkJrUW9kZEU1TTZjMzQ0MVVzTXNtd3RFZw?oc=5" target="_blank">Transforming Biomanufacturing with AI and Quantum Technologies</a>  <font color="#6f6f6f">BioProcess International</font>

Master's Degree In Machine Learning - Unlocking Your Potential in 2026
Simplilearn.comworld

Master's Degree In Machine Learning - Unlocking Your Potential in 2026

<a href="https://news.google.com/rss/articles/CBMimwFBVV95cUxNdHNXdmJxTEhBZmg1Qlo2TGtvX1RHVW5fZkkyZHFjbmdXMHJFQXNfUlpxU013YnlFbUxhVmhoWTB5ckVtczlRdmNwSV9nVlFRMFNUMXJLWWxPMGMxXzAyNkRSSXlOUmZvbjJLdHZLUFkwM0FZS0xBdU1WdVc4SWhQdVpYTnBSMTVYV0YzZmc1MTZrV2VxOFVyMVBESQ?oc=5" target="_blank">Master's Degree In Machine Learning - Unlocking Your Potential in 2026</a>  <font color="#6f6f6f">Simplilearn.com</font>

Machine learning-based geospatial assessment of forest structure characteristics and sequestration potential for informed carbon stocks inventories
Naturemarkets

Machine learning-based geospatial assessment of forest structure characteristics and sequestration potential for informed carbon stocks inventories

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBEb1VMRTVjeHpMbEpXS0k4Qk1OVERWbi1vMkhBQUowUWI0S20wcnc5bmI4bjhnT080OHRBTEc0WXhyclR4RXY5ZlpNV0k1LUhSUnJWX2g3WTBSSzY3TG5v?oc=5" target="_blank">Machine learning-based geospatial assessment of forest structure characteristics and sequestration potential for informed carbon stocks inventories</a>  <font color="#6f6f6f">Nature</font>

Deep Learning in Cytopathology: The Potential for Multimodal Synergy of Clinical and Cytological Input Data
Ovidgeneral

Deep Learning in Cytopathology: The Potential for Multimodal Synergy of Clinical and Cytological Input Data

<a href="https://news.google.com/rss/articles/CBMivgFBVV95cUxQTFQ5OVdtTVB2RkplZzE5SEF0d1BFSnBWLWdOaHQ1bU1NSkMzbDdRMW5CSUhRRV80bzAzU3I3M2VMT3ptSGkyZ3A3d1NrRElIbnpLak1ObHpYRW96RHNfMmtaemlsS093UjZYb1lqby14aWZJdE5RNzRKUkJsRE5QbndiVXNNSV82NDl2RFpMbTlKYUswd3ZSTkt1enRmVkZOVTdpZDJVcENBRVZrSFhqSWVneW56SHB5MnFCNXNB?oc=5" target="_blank">Deep Learning in Cytopathology: The Potential for Multimodal Synergy of Clinical and Cytological Input Data</a>  <font color="#6f6f6f">Ovid</font>

Machine learning interatomic potential for the structural properties of iron oxides
Naturegeneral

Machine learning interatomic potential for the structural properties of iron oxides

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1nMWJWUkV4OGwyeG1XVFNrRGUwaUJSeFlxSkJaMC1MZmtUdDdwcHN4bkYwWHI3TW11RUpIbzFTU1RGM2JBMi14Wi1GRWRfS1phNkJ6TVNHanVWMm1XUUdN?oc=5" target="_blank">Machine learning interatomic potential for the structural properties of iron oxides</a>  <font color="#6f6f6f">Nature</font>

Self-optimizing machine learning potential assisted automated workflow for highly efficient complex systems material design
Naturegeneral

Self-optimizing machine learning potential assisted automated workflow for highly efficient complex systems material design

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE43VVh3MDM1U0xtSHdOc3RWQ3VBcE44R3FhX0FEbkl4WEx5TzRQbmxHWFJqOHZBMVlkaUZndXVjM0ZRMGFPa3VFakR3UDBoQ1YwVkw5Q1RMbjFkNE5sV2xr?oc=5" target="_blank">Self-optimizing machine learning potential assisted automated workflow for highly efficient complex systems material design</a>  <font color="#6f6f6f">Nature</font>

Domain oriented universal machine learning potential enables fast exploration of chemical space of battery electrolytes
Naturetech

Domain oriented universal machine learning potential enables fast exploration of chemical space of battery electrolytes

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0zSERoVFgzblBtUElyQndDMnM2Rkpza1E4NWxHWjAwSGZBOTFpZTVaSTFUUm10Q1hKeTV5TGNYWVBJR0RreTZ6bVRDUFdJdUM2UWlncFNLbmdvMFpOTDU0?oc=5" target="_blank">Domain oriented universal machine learning potential enables fast exploration of chemical space of battery electrolytes</a>  <font color="#6f6f6f">Nature</font>

Machine learning interatomic potential reveals hydrogen embrittlement origins at general grain boundaries in α-iron
Naturetech

Machine learning interatomic potential reveals hydrogen embrittlement origins at general grain boundaries in α-iron

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBYbGRTRndxSGRJMnY1dDBSVkFyT3dZZVlEcDJ5alJzTm8zV0syOEFfeUJLTzdFMzJaYnBiNmwtQ3o5cV9ZZ1VsRFRtLVZQLU1ZR2ZDU0pHRl9ySEFpTUNv?oc=5" target="_blank">Machine learning interatomic potential reveals hydrogen embrittlement origins at general grain boundaries in α-iron</a>  <font color="#6f6f6f">Nature</font>

A foundation machine learning potential with polarizable long-range interactions for materials modelling
Natureworld

A foundation machine learning potential with polarizable long-range interactions for materials modelling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1YS0lNQ0w0VkY5R0JzekN3UUZCY2xQSU5Jc1dwM19TdF9ONjNvY2tDVGRaeFlhcXlJSHhyc1EtNjhFTzRsbGFrQ0I0aFpzcG9ULXpXNGhFMGVVbEN3WjZj?oc=5" target="_blank">A foundation machine learning potential with polarizable long-range interactions for materials modelling</a>  <font color="#6f6f6f">Nature</font>

Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential
Naturegeneral

Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9OZXVqcGQtcTRuN1ByLUNTSGpRMnRoMXFNNW5XeU1ZTUFJdzQzVW9tN2JzQlNUYm1kR3g0cHhSWEtkX1RpU0pVZ1ZLSjhCTUFqMU9GRkNveGp5WXYyTjkw?oc=5" target="_blank">Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential</a>  <font color="#6f6f6f">Nature</font>

Coarse-grained machine learning potential for mesoscale multilayered graphene
Naturetech

Coarse-grained machine learning potential for mesoscale multilayered graphene

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1aU2FxVG9aQUZ2a2VDSmxoOG10bVdhTllZVGxmSTlCRUdKWk9hUEY4NHZ2X3hoRzdBREdUa1BiSGhPemlla0hwaW12ZThxeVRNZG9VamhsWmoxLVdGQVln?oc=5" target="_blank">Coarse-grained machine learning potential for mesoscale multilayered graphene</a>  <font color="#6f6f6f">Nature</font>

PET-MAD as a lightweight universal interatomic potential for advanced materials modeling
Natureworld

PET-MAD as a lightweight universal interatomic potential for advanced materials modeling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA2QmJXM0oxbmpSMlE5S1ktN240VnR5NW1RakdyZlVlRERHOWdUM016YkFwVlVJTjI3RGNXUkFwcFVaeDFlT0h5eDJ3WUtmQ2xLazd4YUh1YnhDbzJsZS1R?oc=5" target="_blank">PET-MAD as a lightweight universal interatomic potential for advanced materials modeling</a>  <font color="#6f6f6f">Nature</font>

OMNI-P2x universal neural network potential for excited-state simulations
Natureworld

OMNI-P2x universal neural network potential for excited-state simulations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9PT05Vc2NQQi1BT3VYeWNSRUZ2LUlWQktXVEZDRjF0S2NQajhBSVZwY2l2eWdOdFYtOWNjbzZPUm8tNHlFclpETnFTQ3pOdkU1Y1FFZ1pBMFVkM19fZzk4?oc=5" target="_blank">OMNI-P2x universal neural network potential for excited-state simulations</a>  <font color="#6f6f6f">Nature</font>

An automated framework for exploring and learning potential-energy surfaces
Naturegeneral

An automated framework for exploring and learning potential-energy surfaces

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8zemVOdUh4Ynp3M1RjMXFUU0VIM1JUaVNQTjloM0JaVXREREpPSkpXVkFZV3gxNnA5Q2VVT1ZpUTlvdmNmaVhnS3pkOWRma3c4SUdvbnBrdElrSTJhalYw?oc=5" target="_blank">An automated framework for exploring and learning potential-energy surfaces</a>  <font color="#6f6f6f">Nature</font>

Decoding local framework dynamics in the ultra-small pore MOF MIL-120(Al) CO
Naturegeneral

Decoding local framework dynamics in the ultra-small pore MOF MIL-120(Al) CO

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB3TDR4aEpPVlRTNEg4b1JGU2xVYlFXUkp4OEF6UGxEbG03dnA0aEtETnBrRDVybUZQNGVQQWZJODlqMmZTbFB0MEtoWC1XcFZnT1BSVlZjM3I1ZG4wTnJj?oc=5" target="_blank">Decoding local framework dynamics in the ultra-small pore MOF MIL-120(Al) CO</a>  <font color="#6f6f6f">Nature</font>

Deep learning potential model of displacement damage in hafnium oxide ferroelectric films
Naturegeneral

Deep learning potential model of displacement damage in hafnium oxide ferroelectric films

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBkMkFUWVlEZVRITm51YU81bklqNnNTUzI2b3FNeFRYbEdaTkdZWUZXdUpXejNoN29WaWlTMTNfenl1RmVRRTA2SjVMZUdBV2IxdnBnRThNeVZZOV9hR1BB?oc=5" target="_blank">Deep learning potential model of displacement damage in hafnium oxide ferroelectric films</a>  <font color="#6f6f6f">Nature</font>

Leveraging active learning-enhanced machine-learned interatomic potential for efficient infrared spectra prediction
Naturegeneral

Leveraging active learning-enhanced machine-learned interatomic potential for efficient infrared spectra prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA4XzNLWG9oeGZ5WTl1dk9DVGItQ0hPOVo0MUhIUWRUd195c0RBY1FITy11NWhvSEJIb2NOS3BTM0huUjd3a3FNRzJkN202bUlHYUo1NjlJbTlpcGcyYTU0?oc=5" target="_blank">Leveraging active learning-enhanced machine-learned interatomic potential for efficient infrared spectra prediction</a>  <font color="#6f6f6f">Nature</font>

An accurate and transferable machine learning interatomic potential for nickel | Communications Materials
Natureworld

An accurate and transferable machine learning interatomic potential for nickel | Communications Materials

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9JME91Z1E2U09QNzBLRXdweEY4d2ZUZUZGc1VNeHB6dC1ucW5ZZXIzMTZKcWVHbmNvVFdLME5jdXFsOE5PUlhPVHBPdXotMTJQZ1kyT00xNlVfUURFUkdr?oc=5" target="_blank">An accurate and transferable machine learning interatomic potential for nickel | Communications Materials</a>  <font color="#6f6f6f">Nature</font>

Pretraining of attention-based deep learning potential model for molecular simulation | npj Computational Materials
Naturetech

Pretraining of attention-based deep learning potential model for molecular simulation | npj Computational Materials

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE00dzRaV0kyNnRkYVBodngtUmxBdjUwYlFRbXNCeGh6eUd0bEo5VVJ5YVl0a2NtMnMxVG5Ca1hBd0JSUjE0aWYycVh0V2ZVdTRGMzA5ZjRKcF9XdXZMb0Yw?oc=5" target="_blank">Pretraining of attention-based deep learning potential model for molecular simulation | npj Computational Materials</a>  <font color="#6f6f6f">Nature</font>

Principal component analysis enables the design of deep learning potential precisely capturing LLZO phase transitions
Naturegeneral

Principal component analysis enables the design of deep learning potential precisely capturing LLZO phase transitions

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9COWVHTFNIZUFmd0Z2dEthQ1RlRlJHZ0EyaWhxZTNENDBzUXViS0xWT21zejJyeUZKNVUtQTQ2TlgyaVh3bmludXdkZmJ4eG9wME1CWndQeFItUjlZc25n?oc=5" target="_blank">Principal component analysis enables the design of deep learning potential precisely capturing LLZO phase transitions</a>  <font color="#6f6f6f">Nature</font>

Machine learning potential assisted exploration of complex defect potential energy surfaces
Naturegeneral

Machine learning potential assisted exploration of complex defect potential energy surfaces

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE84NzhfUnktdzF5dzlOMFZEaU0tNV9IZFZueHpqdGJTaGZKelVNRlA1Mkx1Y2JJQWcyZXRHQ01ydGNVODR3Y0s2Q2tfSkxzdmpET0dJUlMxZDFYV3ZiXzVr?oc=5" target="_blank">Machine learning potential assisted exploration of complex defect potential energy surfaces</a>  <font color="#6f6f6f">Nature</font>

Assessing the potential of deep learning for protein–ligand docking
Naturegeneral

Assessing the potential of deep learning for protein–ligand docking

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBNRDhQMWdHY1M3LUpTazh4Ylh3VVN5WVFhOEtXV3pVOEE2VUZOdjdMVlV4N2tYVVZuSGxzMmx6aEQ4dlNaRDN3YXpjS05GQ0diYmtQb3diTE1WbU91MVRv?oc=5" target="_blank">Assessing the potential of deep learning for protein–ligand docking</a>  <font color="#6f6f6f">Nature</font>

Multi-reward reinforcement learning based development of inter-atomic potential models for silica
Naturegeneral

Multi-reward reinforcement learning based development of inter-atomic potential models for silica

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBUR2JHRVVjbE12N3J0aUpKNnRyVWdLTmZHeXJSbVppSTlUQUl1SEcyWU16Ny01NmJtZHdIcnU4UVIyMnpPMnBiVnlrenBBTFhiTGlVWE1rSTZmd3dra2tv?oc=5" target="_blank">Multi-reward reinforcement learning based development of inter-atomic potential models for silica</a>  <font color="#6f6f6f">Nature</font>

CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling
Naturetech

CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB6MWd6c056VklwYUYxZzkxNTdRTFJNZDhtUmJBT19yLUpveU9PUGp0aVNDRFBQbEx6UTk1ZV9JckZQRWd4V2dRS1RyRlN5UVl4dy01Y0VwR0V5bk5CdXY4?oc=5" target="_blank">CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling</a>  <font color="#6f6f6f">Nature</font>

Machine learning the electric field response of condensed phase systems using perturbed neural network potentials
Naturegeneral

Machine learning the electric field response of condensed phase systems using perturbed neural network potentials

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9LYXUwSnExeHVZMThtamxrU1B2ZVNuX2c5LS0xZ0YyMlNHLUZTQ00zZUszX3pYVXB3b0hwNWZzRC1ERDMtSVRnTG9NSkhSRlh0UkdYSGVjVl91UVNrbF9v?oc=5" target="_blank">Machine learning the electric field response of condensed phase systems using perturbed neural network potentials</a>  <font color="#6f6f6f">Nature</font>

Ultra-fast interpretable machine-learning potentials - npj Computational Materials
Naturegeneral

Ultra-fast interpretable machine-learning potentials - npj Computational Materials

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBGZ1RBMUVKRHlBTW5pLWVoczh1RnRILVY1TnctMHlsZGpRUFloSUZiQ0I4eThaOENOTVZ3d0VHZGRXQlFKUjZfbVYzMFVHTjBtc2V0dlpVN2tUZVZkcl9F?oc=5" target="_blank">Ultra-fast interpretable machine-learning potentials - npj Computational Materials</a>  <font color="#6f6f6f">Nature</font>

Using machine learning to go beyond potential energy surface benchmarking for chemical reactivity
Naturegeneral

Using machine learning to go beyond potential energy surface benchmarking for chemical reactivity

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9Da2dNOF9uNloxQTR3V3NlNXJPSG5EejdGLWt4dUVOSkUwWFJoSFBzVjY0bnI5ekdZaTZVRmx1RlpxUXB2TF9UWDJhVWx2MzNrT3Z0b1pFWnFSYXpJY0pR?oc=5" target="_blank">Using machine learning to go beyond potential energy surface benchmarking for chemical reactivity</a>  <font color="#6f6f6f">Nature</font>

"Machine learning potentia" — Live Google News Trends & Headlines