Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

A newly developed machine learning model makes reliable strength predictions in carbon fiber-reinforced steel columns, according to a news release by Seoul National University of Science & Technology.

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

Immuto CEO Faraz Choudhury spoke with Pharmaceutical Executive about his company’s work with focusing on Surface Protein Conformations (SPCs) for target discovery. According to him, traditional target ...

Molecular machines, a chromatin remodeler (pink and green on left) and RNA polymerase II (grey, yellow, and blue in center), work together to read genomic information stored on tightly packed DNA ...

A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, sequence design, and live-cell screening together to enable rapid conversion ...

Antimicrobial resistance (AMR) is diminishing the effectiveness of existing antibiotics and intensifying the need for discovery pipelines that are both ...