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Data Party THU
Data Party THU
Apr 12, 2026 · Artificial Intelligence

Physics‑Informed GP Model Enables Near‑Infinite Stability in Hot Molecular Dynamics

Researchers from the University of Manchester introduced a physics‑informed Gaussian Process atomic energy model that, unlike traditional machine‑learning potentials, remains stable in molecular dynamics simulations up to 1000 K for tens of nanoseconds, demonstrating robust force predictions and reliable long‑time behavior across diverse molecules.

Gaussian ProcessMachine Learning Potentialscomputational chemistry
0 likes · 7 min read
Physics‑Informed GP Model Enables Near‑Infinite Stability in Hot Molecular Dynamics
Data Party THU
Data Party THU
Jan 26, 2026 · Artificial Intelligence

How PropMolFlow Boosts Property‑Guided Molecule Generation by Tenfold

PropMolFlow, a new flow‑matching model introduced by researchers from the University of Florida and NYU, generates property‑guided molecules up to ten times faster than prior SOTA methods while preserving chemical validity and achieving superior performance on benchmarks such as QM9.

AI drug discoveryPropMolFlowcomputational chemistry
0 likes · 7 min read
How PropMolFlow Boosts Property‑Guided Molecule Generation by Tenfold
HyperAI Super Neural
HyperAI Super Neural
Dec 24, 2025 · Artificial Intelligence

Halving Computational Cost: ChemOntology Encodes Human Intuition to Accelerate Reaction Path Searches

The ChemOntology framework from Hokkaido University encodes chemists' intuition into a knowledge‑driven system, dramatically cutting computational cost while improving the clarity and efficiency of reaction‑path searches, as demonstrated on the classic Heck reaction mechanism.

Artificial Force Induced ReactionChemOntologyHeck reaction
0 likes · 14 min read
Halving Computational Cost: ChemOntology Encodes Human Intuition to Accelerate Reaction Path Searches
21CTO
21CTO
Dec 7, 2015 · Fundamentals

How D.E. Shaw’s Anton Supercomputer Revolutionized Computational Chemistry

Former professor and hedge‑fund founder D.E. Shaw leveraged his expertise in massive parallel computing to create the Anton supercomputer, a purpose‑built machine that accelerates molecular dynamics simulations thousands of times faster than traditional supercomputers, reshaping computational chemistry and high‑frequency trading.

AntonD.E. ShawParallel Computing
0 likes · 9 min read
How D.E. Shaw’s Anton Supercomputer Revolutionized Computational Chemistry