Results 91 to 100 of about 5,428,738 (277)

A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery

Advanced Robotics Research, EarlyView.
A novel handheld stiffness sensor is presented for real‐time tissue stiffness characterization. By simultaneously sensing contact force and tissue deformation, the device enables accurate stiffness quantification without requiring precise manual control. This approach offers a promising solution for intraoperative tumor detection and minimally invasive
Qianyu Ma, Ruxiang Jiang, Kaspar Althoefer, Nicolas Herzig, Hareesh Godaba   +4 more
wiley   +1 more source

Property Optimization of Mn–Ni–Al Oxide Thermistors via an Integrated Framework of Efficient Composition Exploration and Image Analysis

Advanced Materials Interfaces
For negative‑temperature‑coefficient thermistors, resistance R and the B constant must be precisely controlled, yet they depend sensitively on composition, crystal phases, and microstructure.
Yo Kato, Keisuke Makino, Shogo Hashimura, Nozomi Arakawa, Hayami Takeda, Naoto Tanibata, Masanobu Nakayama, Naohiro Niizeki, Takayuki Nakaya   +8 more
doaj   +1 more source

Prediction and optimization of epoxy adhesive strength from a small dataset through active learning

Science and Technology of Advanced Materials, 2019
Machine learning is emerging as a powerful tool for the discovery of novel high-performance functional materials. However, experimental datasets in the polymer-science field are typically limited and they are expensive to build. Their size (< 100 samples)
Sirawit Pruksawan, Guillaume Lambard, Sadaki Samitsu, Keitaro Sodeyama, Masanobu Naito   +4 more
doaj   +1 more source

Committee machine that votes for similarity between materials

IUCrJ, 2018
A method has been developed to measure the similarity between materials, focusing on specific physical properties. The information obtained can be utilized to understand the underlying mechanisms and support the prediction of the physical properties of ...
Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Tuan-Dung Ho, Truyen Tran, Keisuke Takahashi, Hieu-Chi Dam   +6 more
doaj   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

Advanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu, Pan Zhang, Shangqian Wu, Hao Sun, Minwei Li, Sophia Tsoka, Zizhang Sheng, Lei Deng   +7 more
wiley   +1 more source

Data-driven analysis of electron relaxation times in PbTe-type thermoelectric materials

Science and Technology of Advanced Materials, 2019
Data mining from published papers can generate large experimental datasets that have been overlooked in computational materials informatics. We developed an open web system Starrydata2 to accelerate a comprehensive digitization of data of materials from ...
Yukari Katsura, Masaya Kumagai, Takushi Kodani, Mitsunori Kaneshige, Yuki Ando, Sakiko Gunji, Yoji Imai, Hideyasu Ouchi, Kazuki Tobita, Kaoru Kimura, Koji Tsuda   +10 more
doaj   +1 more source

A framework for materials informatics education through workshops. [PDF]

MRS Bull, 2023
Mannodi-Kanakkithodi A, McDannald A, Sun S, Desai S, Brown KA, Kusne AG.   +5 more
europepmc   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Acceleration, agency, and foundations: ten influential arXiv directions in AI for materials science (2025)

JPhys Materials
A small number of preprints each year present results that enable faster downstream work by decreasing adoption challenges. The year 2025 revealed several arXiv papers that focused on artificial intelligence (AI) applications for materials science ...
Prashnna Gyawali, Alejandro Bautista-Hernández, Aldo H Romero   +2 more
doaj   +1 more source

Data, informatics and technology: an inspiration for improved healthcare Studies in health technology and informatics ;, v. 251./ edited by Arie Hasman, Parisis Gallos, Joseph Liaskos, Mowafa S. Househ and John Mantas.

, 2018
Includes bibliographical references and indexes.Biomedical informatics is important for the entire domain of healthcare, from clinical informatics and health informatics to the wider field of public health informatics.
Househ Mowafa, Liaskos Joseph, Hasman Arie, Mantas J.   +3 more
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