Results 261 to 270 of about 12,950,355 (371)

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Natural product Erianin: mitigating FOLFOX toxicity and enhancing against colorectal cancer. [PDF]

Front Chem
Yang F, Li Z, Zhang H, Zhang M, He Z, Zheng X, Zhu Y, Long P, Ding R, Lin Z, Deng L.   +10 more
europepmc   +1 more source

Synthetic Studies on Echinulin and Related Natural Products. II. : A Total Synthesis of Echinulin

, 1977
Shoji Inoue, NOBORU TAKAMATSU, Yoshito Kishi   +2 more
openalex   +2 more sources

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Azine Dearomatization in Natural Product Total Synthesis. [PDF]

Chemistry
Knight BJ, Grigolo TA, Tolchin ZA, Smith JM.   +3 more
europepmc   +1 more source

Studies on monoterpene glucosides and related natural products. XXXIII. Structure of bakankosin.

, 1976
Hiroyuki Inouye, Shusaku Tobita, MAKOTO MORIGUCHI   +2 more
openalex   +2 more sources

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Structure of a putative terminal amidation domain in natural product biosynthesis. [PDF]

Structure
Rankin MR, Khare D, Gerwick L, Sherman DH, Gerwick WH, Smith JL.   +5 more
europepmc   +1 more source

Stereochemical studies. L. Reductive decyanization of .ALPHA.-amino nitriles with sodium in liquid ammonia. An alternate method for the application to the asymmetric synthesis of optically active natural products.

, 1977
Kiyoshi Tomioka, Kenji Koga, Shun‐ichi Yamada   +2 more
openalex   +2 more sources

3D‐Printed Architected Material for the Generation of Foam‐Based Protective Equipment

Advanced Engineering Materials, EarlyView.
This study investigates 3D‐printed architected structures as alternatives to traditional foams in protective gear. It focuses on customizing impact strength and damping through design and manufacturing integration. Testing shows these structures outperform conventional foams, offering enhanced customizability, lower weight, and tunable performance ...
Ali Zolfagharian, Gerard Bel Català, Daniel Saakes, Bernard Rolfe, Ian Gibson, Mehrshad Mehrpouya   +5 more
wiley   +1 more source