Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science. Classical machine learning approaches to molecular dynamics (MD) encode fundamental physical principles ...
Analytical Chemistry
12 hours ago
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5
Chemical reactions drive life. They ensure that cells obtain energy, proteins perform their functions, and DNA changes under certain conditions. However, many of these processes occur on extremely small scales—so small and ...
Biochemistry
13 hours ago
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7
Researchers at The University of Osaka have developed a catalyst that uses vibrational energy to convert carbon dioxide (CO2) into carbon monoxide (CO), an important industrial feedstock. The work, published in the Journal ...
Analytical Chemistry
14 hours ago
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5
A new study sheds light on how hydrogen can be stored and released more effectively using magnesium hydride (MgH₂), offering fresh direction for clean energy technologies.
Analytical Chemistry
20 hours ago
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5
Biodegradable plastics are usually sought after for their ability to break down quickly. However, this does not tell us how safely a product can be used before it degrades. A research team has developed a strong, biodegradable ...
Polymers
14 hours ago
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3
With the aim to precisely understand its function, researchers from the Inorganic Chemistry Department and Interface Science Department of the Fritz Haber Institute, together with colleagues from the Max Planck Institute ...
Analytical Chemistry
15 hours ago
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3
Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced manufacturing, and improved infrastructure. Researchers use machine learning and other computational tools ...
Analytical Chemistry
18 hours ago
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4
In a world first, the team, led by Professor Stephen Liddle, discovered a new type of aromatic molecule made entirely of metal atoms, the heaviest of its kind ever confirmed. The team stabilized an extremely rare three‑atom ...
Analytical Chemistry
Apr 20, 2026
0
126
Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine learning method—Euclidean Fast Attention (EFA)—that enables global atomic interactions in chemical systems ...
Analytical Chemistry
Apr 20, 2026
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42
Researchers have uncovered that an orthogonal molecular architecture directs the formation of a rare double-cable structure, offering a new blueprint for advancing the fundamental design of energy-active materials. By guiding ...
Analytical Chemistry
Apr 20, 2026
0
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