Edgewise Therapeutics, Inc., (Nasdaq: EWTX), today announced positive updates from the ongoing CIRRUS-HCM, Phase 2 clinical ...

Researchers have developed a powerful computational framework that shows how carefully optimized nanotube shapes can amplify ...

C compiler, LustreC, into a generator of both executable code and associated specification. Model-based design tools are ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...

EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to ...

From 11.5 million alloy candidates to AI-guided perovskites, this piece unpacks how materials informatics is speeding up discovery, design, and deployment in engineering.

Neel Somani, a researcher specializing in mathematics, computer science, and business, has long explored the intersection between computational efficiency and human well-being. His work reflects an ...

Introduction: Optimizing fracturing parameters under multi-factor, complex conditions remains challenging in low-permeability reservoirs. Methods: We extract stage-aware construction-curve features, ...

Crypto data science bridges blockchain technology with data analytics to interpret massive decentralized datasets. Blockchain data is transparent yet complex, requiring specialized tools for ...

Abstract: In practical applications, the simultaneous optimization of numerous design parameters in time-consuming multi-objective optimization experiments is recognized as a significant bottleneck ...