{"id":59,"date":"2023-01-12T04:26:44","date_gmt":"2023-01-12T04:26:44","guid":{"rendered":"http:\/\/theraject.com\/?page_id=59"},"modified":"2026-03-20T19:52:35","modified_gmt":"2026-03-20T19:52:35","slug":"current-research","status":"publish","type":"page","link":"http:\/\/theraject.com\/?page_id=59","title":{"rendered":"Technology Platform"},"content":{"rendered":"\n<h1 class=\"wp-block-heading\"><\/h1>\n\n\n\n<p>TheraJect\u2019s platform is an <strong>integrated AI-driven system for rare-earth innovation<\/strong>, combining materials discovery, bio-extraction, and digital twin supply-chain intelligence.<\/p>\n\n\n\n<p>At its core is a unified <strong>AI inference and optimization framework<\/strong> that enables rapid exploration, evaluation, and deployment of candidate materials and processes across the rare-earth lifecycle.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Platform Architecture<\/h2>\n\n\n\n<p>TheraJect\u2019s technology platform consists of three tightly integrated layers:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">AI Inference Engine \u2192 Physics &amp; Biology Modeling \u2192 System-Level Optimization<\/pre>\n\n\n\n<p>This architecture enables end-to-end innovation from <strong>atomic-scale materials design to system-scale supply-chain optimization<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">1&#xfe0f;&#x20e3; AI\/ML Inference Engine<\/h3>\n\n\n\n<p>Our AI layer enables <strong>inference-time discovery and decision-making<\/strong>, not just offline training.<\/p>\n\n\n\n<p>It integrates:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Generative models (VAE, diffusion, GFlowNet) for candidate generation<\/li>\n\n\n\n<li>Graph neural networks (GCN, GAT, MEGNet, M3GNet) for structure-aware prediction<\/li>\n\n\n\n<li>Transformer-based models for multi-property estimation<\/li>\n\n\n\n<li>Materials and protein language models (MatBERT, ESM-2)<\/li>\n<\/ul>\n\n\n\n<p>These components operate within a <strong>Pareto-guided inference loop<\/strong>, enabling real-time exploration of vast chemical, structural, and biological design spaces under practical constraints.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">2&#xfe0f;&#x20e3; Physics-Based Simulation (Materials Layer)<\/h3>\n\n\n\n<p>We perform scalable first-principles simulations to validate and refine AI-generated materials:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Formation energy and thermodynamic stability<\/li>\n\n\n\n<li>Magnetic properties (Ms, MAE, Tc)<\/li>\n\n\n\n<li>Electronic structure and band gaps<\/li>\n\n\n\n<li>Crystal relaxation and structural optimization<\/li>\n<\/ul>\n\n\n\n<p>Our workflows leverage:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>GPAW and ASE for DFT<\/li>\n\n\n\n<li>PyXtal for structure generation<\/li>\n\n\n\n<li>M3GNet for ML-accelerated relaxation<\/li>\n\n\n\n<li>Compatibility with VASP-style workflows<\/li>\n<\/ul>\n\n\n\n<p>This ensures that all candidates are evaluated under <strong>physically consistent constraints<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">3&#xfe0f;&#x20e3; Bio-Extraction Modeling (Biomining Layer)<\/h3>\n\n\n\n<p>TheraJect extends AI-driven discovery into <strong>rare-earth extraction technologies<\/strong>.<\/p>\n\n\n\n<p>This layer includes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Lanmodulin-based selective REE binding systems<\/li>\n\n\n\n<li>Protein language models (ESM-2) for sequence embedding<\/li>\n\n\n\n<li>ML prediction (XGBoost \/ RF) of binding selectivity and performance<\/li>\n\n\n\n<li>Immobilization and support-material optimization<\/li>\n<\/ul>\n\n\n\n<p>This enables the design of <strong>sustainable, low-impact extraction processes<\/strong> as an alternative to conventional chemical methods.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">4&#xfe0f;&#x20e3; Multi-Objective Optimization &amp; Decision Layer<\/h3>\n\n\n\n<p>All candidates\u2014materials and biomining systems\u2014are evaluated through <strong>Pareto-based multi-objective optimization<\/strong>, balancing:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Performance (magnetics, selectivity, efficiency)<\/li>\n\n\n\n<li>Thermodynamic stability and feasibility<\/li>\n\n\n\n<li>Cost and supply-chain criticality<\/li>\n\n\n\n<li>Manufacturability and scalability<\/li>\n<\/ul>\n\n\n\n<p>This enables <strong>transparent trade-off analysis<\/strong> and risk-aware decision-making.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">5&#xfe0f;&#x20e3; Data Infrastructure &amp; Data Fusion<\/h3>\n\n\n\n<p>The platform integrates diverse datasets, including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Materials Project, OQMD, JARVIS, AFLOW<\/li>\n\n\n\n<li>Matminer-derived feature databases<\/li>\n\n\n\n<li>LanM and biomining datasets<\/li>\n\n\n\n<li>AI-generated synthetic datasets<\/li>\n\n\n\n<li>Literature and experimental data<\/li>\n<\/ul>\n\n\n\n<p>All data streams are normalized and continuously refined through <strong>feedback loops between AI models, simulation, and real-world constraints<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">6&#xfe0f;&#x20e3; Digital Twin &amp; System-Level Modeling<\/h3>\n\n\n\n<p>TheraJect extends beyond discovery into <strong>system-level optimization<\/strong> through digital twin modeling.<\/p>\n\n\n\n<p>This layer enables:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Simulation of rare-earth supply chains<\/li>\n\n\n\n<li>Modeling of extraction, separation, and recycling processes<\/li>\n\n\n\n<li>Scenario analysis under geopolitical and policy constraints<\/li>\n\n\n\n<li>Optimization of cost, resilience, and environmental impact<\/li>\n<\/ul>\n\n\n\n<p>This transforms isolated discovery into <strong>actionable, system-level innovation<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">7&#xfe0f;&#x20e3; End-to-End Inference Loop<\/h3>\n\n\n\n<p>TheraJect\u2019s platform operates as a continuous discovery and optimization loop:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">AI-based generation  <br>\u2192 ML prediction  <br>\u2192 Pareto optimization  <br>\u2192 Physics \/ biological validation  <br>\u2192 System-level evaluation (digital twin)  <br>\u2192 Down-selection for deployment  <\/pre>\n\n\n\n<p>This framework reduces traditional R&amp;D cycles from months to days while improving accuracy, interpretability, and real-world applicability.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Our Approach<\/h2>\n\n\n\n<p>TheraJect builds on open scientific methods.<\/p>\n\n\n\n<p>Our innovation lies in <strong>integrating AI, physics, biology, and system modeling into a unified platform<\/strong> for real-world rare-earth innovation under physical, economic, and societal constraints.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>TheraJect\u2019s platform is an integrated AI-driven system for rare-earth innovation, combining materials discovery, bio-extraction, and digital twin supply-chain intelligence. At its core is a unified AI inference and optimization framework that enables rapid exploration, evaluation, and deployment of candidate materials and processes across the rare-earth lifecycle. Platform Architecture TheraJect\u2019s technology platform consists of three tightly &hellip; <\/p>\n<p class=\"link-more\"><a href=\"http:\/\/theraject.com\/?page_id=59\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Technology Platform&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-59","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"http:\/\/theraject.com\/index.php?rest_route=\/wp\/v2\/pages\/59","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/theraject.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/theraject.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/theraject.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/theraject.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=59"}],"version-history":[{"count":15,"href":"http:\/\/theraject.com\/index.php?rest_route=\/wp\/v2\/pages\/59\/revisions"}],"predecessor-version":[{"id":230,"href":"http:\/\/theraject.com\/index.php?rest_route=\/wp\/v2\/pages\/59\/revisions\/230"}],"wp:attachment":[{"href":"http:\/\/theraject.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=59"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}