Results 191 to 200 of about 1,259,133 (314)

Extrusion‐Based Additive Manufacturing of Advanced Ceramics: Strengthening Mechanisms and Process Optimization Review

Advanced Engineering Materials, EarlyView.
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari, Mohammad Hadi Sheikh‐Ansari, Avinash Borgaonkar, Mehran Dadkhah, Abdollah Saboori   +4 more
wiley   +1 more source

Predicting Anxiety in Individuals with Diabetes: A Comparative Analysis of Machine Learning Algorithms. [PDF]

Probl Endokrinol (Mosk)
Bourkhime H, Qarmiche N, Benmaamar S, Lazar N, Omari M, Berraho M, Tachfouti N, El Fakir S, El Ouahabi H, Otmani N.   +9 more
europepmc   +1 more source

Foundational Machine‐Learning Interatomic Potential for Simulating Chemically Complex Ni‐Based Superalloys

Advanced Engineering Materials, EarlyView.
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma, Sarath Menon, Fritz Körmann, Thomas Hammerschmidt, Ralf Drautz   +4 more
wiley   +1 more source

Optimizing Thermal Pressing of Airlaids with Machine Learning. [PDF]

ACS Omega
Rummukainen H, Hjelt T, Mäkelä M.
europepmc   +1 more source

Molecular Adsorbing Host•Guest (MAHG) Crystals: A New Paradigm for Porous Materials?

Advanced Functional Materials, EarlyView.
Networking! Introduction of guest molecules in macrocycles before crystallization profoundly influences the material obtained in terms of structure and function. Beside simplicity and porous space improvement, this approach is endowed with a huge potential given the myriad of potential guest molecules that can be used to tune this burgeoning class of ...
Ingrid Suzana, Michel Giorgi, Anthony Kermagoret, Alexandre Martinez, David Bardelang   +4 more
wiley   +1 more source

Development of a Deep Learning Model to Automatically Identify Palatal Landmarks on Three-Dimensional Maxillary Dental Casts

International Journal of Dentistry
Jamal Giri, George Vadakepurathan Jose, Nikhil Cherian Kurian, Alan Brook, Lyle Palmer, Toby Hughes   +5 more
doaj   +1 more source

Airway segmentation on CT - A systematic review of machine learning tools. [PDF]

Eur J Radiol Open
Lsloum N, Maiter A, Alnasser T, Albylwi A, Alghamdi K, Sharkey M, Hokmabadi A, Salehi M, Dwivedi K, Johns C, Swift AJ, Alabed S.   +11 more
europepmc   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO2 Films

Advanced Functional Materials, EarlyView.
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand, Nuno Estrócio, Ji S. Kim, Babak Bakhit, Marian C. Istrate, Corneliu Ghica, Tiago Rebelo, Nives Strkalj, Abin Varghese, Bernardo Almeida, Luís S. Marques, Bipin Rajendran, Judith L. MacManus‐Driscoll, José P. B. Silva   +13 more
wiley   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source